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The Federal Government seeks to make comprehensive use of the innovations triggered by AI to benefit society at large.

Safeguard Germany as a research center, build Germany’s competitive industries, and promote many ways that AI can be used to achieve tangible goals.

The systems of driverless cars are, themselves, extremely complex, as are the environments they are to operate in.

Machine learning has enabled robotic driving in downtown San Francisco, “but it’s a huge computational problem that makes validation all the harder.”
— Anthony Corso, Center for AI Safety

In machine learning, a large volume of data is fed or shown to a machine to be analyzed and can then learn and make predictions, find patterns, or classify data.

The three machine learning types are supervised, unsupervised, and reinforcement learning.

In a recent poll, Americans express mixed support for the development of AI, although more support than oppose it. A substantial minority somewhat or strongly supports the development of AI, while a smaller minority somewhat or strongly oppose its development.

Many express a neutral attitude: with around a third of respondents stating that they neither support nor oppose, or do not know.

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Technology is changing the finance industry. From banking to crypto, and finding new ways to market insurance— tech is making customers more self sufficient.

The 5 Fundamental Steps to Making and APP

The faster you launch your project, the faster you’re able to generate a return on your investment. The key is to always make sure that both business and development teams are on the same page throughout the app creation process.

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AI for and surveillance is a big AI technology trend. It has seen an increase as the amount of online business and use of extensive networks have also increased.

Along with security features such as:

🔒 Face and voice recognition
🔒 Video analysis
🔒 Biometric authentication

AI techniques are learning to flag 🚩 suspicious activity before it becomes an issue for the business or customer.

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Imagine being able to drag and drop sections to create an application? Rather than having to hand code each aspect of a program’s interface.

Artificial Intelligence is heading in the direction of low-code or no-code, where we’ll be able to build AI using drag and drop graphical interfaces.

Imagine what we, as a society, will be able to build without the limitation of ones codings skills.

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Business level strategy is the strategic planning and implementation of activities that occur, in order to set and steer the direction of a business.

This includes:
- How to gain a competitive advantage
- How to create customer value in the business’ specific market

Organizations will often combine business and corporate strategy to create a single strategy.

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Nothing innovative comes without its concerns. Is GOOD for our ever evolving society?

Our thoughts: YES

It also depends on how you look at it? A con can be seen as a challenge that may not make sense to us now in our current societal structure, but when you view it as a POTENTIAL SHIFT in thinking… then it can become an innovative solution.

In order for an intelligent robot to learn, it must accumulate facts through human input or sensors. It will then process and compare newly acquired data to previously stored information and assess a best course of action.

It’s important to understand that a robot can only solve problems that it is built to solve. General analytical abilities are yet to be realized in the field of AI robotics and deep learning.

Ethical AI:

✅ Unbiased and works equally well across all spectra of society

✅ Supports the governance required of companies to ensure the ethical use of AI

✅ Aims to, for example, reduce fraud, eliminate waste, reward people, slow climate change, cure disease, etc.

✅ Uses data responsibly observes data privacy rights

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AI spending is predicted to increase continuously and exponentially in the US. Retail will remain the largest industry for AI spending, with banking coming in second.

The greatest potential for AI remains in developing new businesses and business models, with the continual intent to make things easier for humans in the workplace.

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Python is a popular programming language used for: web development (server-side), software development, mathematics, and system scripting.

Using predictive analytics, e-learning course creators can make content to help learners reach their personal learning goals faster. Predictive analytics can be used to study a learner’s preferred habits and the materials they like to engage with.

It can also be used to examine their skill set and where they may be lacking. With this information, content with that learner’s learning style and courses that address their needs can be created and adjusted to suit that learner.

We must be responsible with the use of AI. Responsible AI is a practice, where all of the designing, developing, and deploying of AI has good intentions.

Responsible AI empowers employees and businesses, and allows companies to trust and scale AI with confidence.

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Natural language is the way we naturally speak and communicate as humans. Search engines use NLP to help make searching for information on the internet as easy as possible.

Why is this important?

The more knowledgeable a system is about a user’s intent, the more accurate results it can create for the user. An NLP can predict a users intent and even emotions behind a question or phrase that is entered in search, making the information much more accessible.

NLP makes communication between computers and humans much easier.

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To understand Machine Learning Algorithms, one must have a deep understand of Statistics and Probability, Linear Algebra, and Multivariable Calculus.

The Machine Learning Process is as follows:
1. Problem Framing
2. Data Analysis
3. Model Building
4. Application

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The more robotics technology advances, the more affordable it becomes. Its accessibility has the potential to change the lives of millions of people, with its integration making things easier in a multitude of different ways.

In only 5 years the cost of a robotic arm has decreased by 46.2%. Think of the possibilities for society as costs continue to decrease.

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AI job postings in the market today, have consisted of the following most desired skills:
1. Machine Learning, 2. Artificial Intelligence, 3. Neural Networks, 4. Neutral Language Processing, 5. Robotics

An increase for these types of jobs have increased significantly in the last couple of years.

With AI and it’s integration into our society growing exponentially, employment will follow suit. People and employers alike are finding more reason to invest in AI education and development.

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Artificial Intelligence today is in its first stage, continuously striving to develop into its second stage.

We are still in the stage of Machine Learning— where AI must be programmed according to its task in a particular area. All variables must be identified and specified so that the program can work seamlessly. The capabilities of Machine Learning AI is limited to what it is programmed to do.

The shift to stages 2 and 3, Machine Intelligence and then Machine Consciousness, will come latter as scientists learn the fundamentals of actual human learning. An AI machine with General and Super Intelligence has yet to be realized, but could possibly exist within the next few years.

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Artificial Intelligence can be categorized as either Weak AI or Strong AI.

Most AI technology used today is in the Weak (or Narrow) AI scope— meaning that the technology must be programmed to perform a specific task or set of tasks.

Strong AI does not fully exist yet, but scientists are working on discovering how to mimic the conscious intelligence of the human brain.

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Artificial Intelligence and Machine Learning are impacting health care in revolutionary ways. It is increasing accuracy, aiding health care workers, and accelerating processes that enable patients to be seen faster and given the care that they need.

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According to machine learning expert , it’s not long until the first machine reaches superintelligence, or the level of Human Performance. He, along with many other leaders in AI research and development, believe that this revolution in machine learning is going to happen within the next few decades.

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Studies show that by practicing kindness now, our ability and tendencies to do so increases for the future. Artificial Intelligence has stemmed into the business of KINDNESS, and just like company growth, can be measured.

40 seconds of your time is all you need.

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Artificial Intelligence: A Quick Guide

AI at its core is the science of simulating human intelligence through machines and robotics. Taking the human thought process and recreating it artificially.

1. Build systems to think the way humans do

2. Complete or perform a job successfully (but not necessarily as a human would do)

3. Complete or perform according to human thought or reasoning

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Artificial intelligence is the collection of tasks that machines are able to execute. Machines learn tasks through machine learning and deep learning geared toward specific cases. These three processes (AI, ML, & DL) are utilized in data science so that data can be analyzed and converted into insights.

Unique insights usually translate into profit for businesses.

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The tree of AI has a vast range of applicable uses for business. From Interactive AI smart bots to Visual AI augmented reality, you can decide which forms of AI are most practical for your business.

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Artificial networks, deep learning, and artificial intelligence are quickly evolving and getting integrated in to businesses more and more. This is primarily because AI has the ability to process large amounts of data much quicker and efficiently, and makes predictions more accurately than humanly possible.

AI applications that use machine learning can take the large volumes of data collected and quickly turn it into actionable information. However, this technology can be expensive to run and maintain.

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